Package: spammR 0.99.26

Sara Gosline

spammR: SPatial Analysis of Multiomics Measurements in R

SpammR provides a suite of tools and a data structure to analyze diverse multiomics measurements in a spatial context. It enables the analysis and visualization of omics measurements paired with a specific image, each with spatial coordinates.

Authors:Sara Gosline [cre, aut], Harkirat Sohi [aut], Yannick Mahlich [aut]

spammR_0.99.26.tar.gz
spammR_0.99.26.zip(r-4.7-any)spammR_0.99.26.zip(r-4.6-any)spammR_0.99.26.zip(r-4.5-any)
spammR_0.99.26.tgz(r-4.6-any)spammR_0.99.26.tgz(r-4.5-any)
spammR_0.99.26.tar.gz(r-4.7-any)spammR_0.99.26.tar.gz(r-4.6-any)
spammR_0.99.26.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
spammR/json (API)

# Install 'spammR' in R:
install.packages('spammR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pnnl-compbio/spammr/issues

Pkgdown/docs site:https://pnnl-compbio.github.io

Datasets:
  • oneKSoilsCoords - Soil sample coordinates for the sample information
  • oneKSoilsMeta - Soil samples from the 1000 soils project Row names indiciate KEGG Orthologs, Column names indicate locations Soil samples metadata for the sample information
  • pancMeta - Here is the data to be included in the spammR package
  • protMeta - Protein metadata for general uniprot data, including the pancProts column for the panc data
  • smallPancData - Pancreatic proteomics measurements from Gosline et al. proteomics study. Row names indicate individual proteins, columns indicate sample identifiers described in 'pancMeta'. Individual values show un-transformed abundance values for each protein. List of proteomic measurements in a list sorted from individual regions of the pancreas. A subset of the data at https://figshare.com/articles/dataset/spammR_Files/29250962

On BioConductor:spammR-0.99.26(bioc 3.24)

spatialpathwaysproteomicsdifferentialexpressionmetabolomicssystemsbiologygeneexpressiongenesetenrichmentsoftwaretranscriptionsequencingmicroarrayepigeneticscheminformaticstranscriptomicscoveragenormalizationpreprocessingbayesianclusteringregressionexonarrayrnaseqonechanneltwochannelmicrornaarraymrnamicroarrayproprietaryplatformssinglecellcellbiologybiomedicalinformaticsfunctionalgenomicsimmunooncologyalternativesplicingdifferentialsplicingbatcheffectmultiplecomparisonqualitycontroltimecoursedataimportlipidomics

5.31 score 9 stars 10 scripts 194 downloads 13 exports 211 dependencies

Last updated from:6a00912bf8. Checks:1 NOTE, 7 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE207
linux-develWARNING386
source / vignettesERROR327
linux-releaseWARNING454
macos-releaseWARNING246
macos-oldrelWARNING248
windows-develWARNING232
windows-releaseWARNING255
windows-oldrelWARNING311
wasm-releaseOK168

Exports:calc_missingnesscalc_spatial_diff_exconvert_to_spedistance_based_analysisenrich_gradientenrich_oraimpute_speretrieve_metaspace_dataspat_reducespatial_heatmapspatial_networksplit_spevolcano_plot

Dependencies:abindaskpassbackportsbase64encBiobaseBiocFileCacheBiocGenericsBiocManagerBiocStylebitbit64bitopsblobbookdownbootbroombslibcachemcallrcarcarDatacaToolscellrangerclassclassIntclicliprcolorspaceconflictedcorrplotcowplotcpp11crayoncrosstalkcurldata.tableDBIdbplyrDelayedArraydeldirDerivdigestdoBydplyrDTdtplyre1071evaluatefarverfastmapfilelockfontawesomeforcatsforecastFormulafracdifffsgarglegenericsGenomicRangesggforceggnewscaleggplot2ggpubrggraphggrepelggsciggsignifgluegoogledrivegooglesheets4gplotsgraphlayoutsgridExtragtablegtoolshavenherehighrhmshtmltoolshtmlwidgetshttrhttr2idsigraphimputeIRangesisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleapRlifecyclelimmalme4lmtestlubridatemagickmagrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmemoisemgcvmimeminqamodelrnlmenloptrnnetnumDerivopensslotelpbkrtestpillarpkgconfigplotlypngpolyclippolynomprettyunitsprocessxprogresspromisesproxypspurrrquantregR6raggrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppTOMLRdpackreadrreadxlreformulasrematchrematch2reprexreticulaterjsonrlangrmarkdownrprojrootRSQLiterstatixrstudioapirvests2S4ArraysS4VectorsS7sassscalesselectrSeqinfosfSingleCellExperimentspSparseArraySparseMSpatialExperimentspDataspdepstatmodstringistringrSummarizedExperimentsurvivalsyssystemfontsterratextshapingtibbletidygraphtidyrtidyselecttidyversetimechangetimeDatetinytextweenrtzdbunitsurcautf8uuidvctrsviridisviridisLitevroomwithrwkxfunxml2XVectoryamlzoo

Readme and manuals

Help Manual

Help pageTopics
Calculate centers of spots/samples for distance based analysiscalc_centers
Helper function for computing pairwise differences between sample valuescalc_diff_pairwiseSamples
Calculate degree of missingness for each featurea and samplecalc_missingness
Identify differentially abundant features across imagecalc_spatial_diff_ex
Create a 'SpatialExperiment' object from dataconvert_to_spe
Identify multiomic features correlated with an distance to an image featuredistance_based_analysis
Calculate functional or pathway enrichment from a gradientenrich_gradient
Calculate functional or pathway enrichmentenrich_ora
Impute missing values based on spatial coordinatesimpute_spe
Soil sample coordinates for the sample informationoneKSoilsCoords
Soil samples from the 1000 soils project Row names indiciate KEGG Orthologs, Column names indicate locations Soil samples metadata for the sample informationoneKSoilsMeta
Here is the data to be included in the spammR packagepancMeta
Protein metadata for general uniprot data, including the pancProts column for the panc dataprotMeta
Retrieve data objects from metaspaceretrieve_metaspace_data
Pancreatic proteomics measurements from Gosline et al. proteomics study. Row names indicate individual proteins, columns indicate sample identifiers described in 'pancMeta'. Individual values show un-transformed abundance values for each protein. List of proteomic measurements in a list sorted from individual regions of the pancreas. A subset of the data at https://figshare.com/articles/dataset/spammR_Files/29250962smallPancData
Reduce a high resolution image measurement (origin) to a lower resolution measurement (target)spat_reduce
Plot data in heatmap together with imagespatial_heatmap
Plot network of correlated featuresspatial_network
Divide SPE object into smaller objects by column featuressplit_spe
Create a volcano plot from differential expression datavolcano_plot